Concepts for Models and Virtualization in Future NASA Science Enterprise Systems

R.L. Harberts, H.K. Ramapriyan, G. McConaughy, C. Lynnes, L. Roelofs, S. Kempler, and K. M


Intelligent systems, models, conceptual architecture, virtualization


Computers amplify human intellectual power in the exploration and management of complexity found in nature. Modern computing allows us to represent, manipulate, explore, and refine the abstract constructs we formulate [1]. Faced with challenges of managing and using increasing amounts and variety of data from advanced observation systems, NASA actively explores new computing system concepts. In this paper we describe a conceptual architecture study for future NASA enterprise systems where models and virtualization have roles in scientific applications and the infrastructures that support them. We introduce intelligent archives and next generation enterprise architectures that depend on imbedded system intelligence for increased sophistication in automation. In one concept for a future weather forecasting system, a global observing system and a weather forecast modeling system interactively feed information to one another in real time. Coupling sensors with advanced data assimilation and modeling components enable coordinated delivery of sensor observations near real-time into weather models. Another concept concerns intelligent system technologies coupled with dynamic models of distributed enterprise system resources. Imbedded models and virtualization will contribute to functional performance optimization and self-improvement of enterprise system infrastructures. These concepts foresee new capabilities characteristic of future distributed science enterprise data utilization.

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